A large scale non-linear optimization library
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Updated
Aug 6, 2026 - C++
A large scale non-linear optimization library
A library for differentiable nonlinear optimization
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
Sparse nonlinear least squares in JAX
DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)
A library of modern Fortran modules for nonlinear optimization
A Super Fast Optimization Library
Least squares adjustment software
A nonlinear least square(NLLS) solver. Fomulate the NLLS as graph optimization.
Advanced Technique for Curve Fitting
{gslnls}: GSL multi-start nonlinear least-squares fitting in R
An optimizer of robustified Non-Linear Least Squares problems
Code and data for the Robotics 2026 paper “Efficient Incremental SLAM via Information-Guided Gating and Selective Partial Optimization”; includes MATLAB/Octave reference code plus C++ and Python prototypes.
Solve nonlinear systems of equations and nonlinear least squares in Julia
Fortran bindings to libdogleg - a large-scale nonlinear least-squares optimization library
Least squares adjustment software
Extended Kalman and NLS filter design for a GPS receiver using real data
Standards Time Series and Regression Package, a library of Fortran subroutines for statistical data analysis developed by the Statistical Engineering Division of the National Institute of Standards and Technology
Research toward constrained parametric geometric model fitting with explicit topology and correspondence
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